- Business analyst
- Data analyst
- Business intelligence analyst
- Marketing analyst
- Financial analyst
- Data visualization specialist
- Business intelligence specialist
- Operations analyst
- Market research analyst
- Analytics consultant
- Data-driven marketing specialist
- Management analyst
DATA SCiEnCE
Data Science: Business and Analytics Major at William Jewell
The Business Analytics emphasis prepares students to use data to solve business problems and support informed decision-making. Students develop skills in statistics, programming, data visualization, predictive modeling, and business strategy.
Interests & Attributes:
- Business-Minded Thinkers
- Clear Communicators
- Problem Solver
Goals for Student Learning
Students in the Business Analytics emphasis develop the technical skills needed to collect, organize, analyze, and interpret data. Through coursework in programming, databases, statistics, data modeling, and data visualization, students learn how to work with data to address practical problems.
Students learn to use statistical, data mining, and programming techniques to develop and evaluate predictive models. They gain experience identifying patterns and trends in data and using those findings to support fact-based decision-making.
The emphasis also focuses on communicating data effectively. Students learn to present quantitative information through written, oral, and visual formats and to select appropriate ways to communicate findings to different audiences.
Most importantly, students learn to move from analysis to action. By combining data science with accounting, business law and ethics, financial management, marketing, and business analytics, students develop the ability to translate analytical results into clear insights that can inform organizational decisions.
More About Your Degree
The Data Science major gives students a foundation in programming, statistics, databases, data visualization, machine learning, and data ethics. Students also have opportunities to expand their technical skills through courses in web development, application development, cloud computing, computational modeling, and other areas of data science.
Students who choose the Business Analytics emphasis add a strong business foundation to their technical preparation. Coursework in accounting, business law and ethics, financial management, and marketing helps students understand the organizational contexts in which data-driven decisions are made. The major culminates in a Business Analytics Capstone, giving students an opportunity to bring their data and business skills together.
Beyond Jewell
Organizations across industries rely on data to understand customers, improve operations, manage resources, and make strategic decisions. Data Science: Business Analytics prepares students to work at the intersection of data and business in fields such as finance, marketing, consulting, technology, healthcare, and other data-driven industries.
Graduates can pursue roles that require both technical data skills and the ability to communicate insights to decision-makers. The emphasis also provides a strong foundation for students interested in graduate study in data science, business analytics, statistics, or related fields.
Students can gain professional experience through the Data Science Internship, applying their skills to real-world data and analytics projects. Internships provide opportunities to work with data in professional settings while developing problem-solving, communication, and analytical skills.
The Business Analytics Capstone also gives students an opportunity to integrate their technical and business knowledge by using data to address a meaningful problem and communicate actionable recommendations.
Students can build a portfolio of data projects throughout the major that demonstrates their ability to work with data, create visualizations, develop models, and communicate insights. Projects can showcase both technical skills and the ability to connect analysis to practical business questions.
The Business Analytics emphasis can also complement interests in finance, marketing, management, entrepreneurship, technology, and other fields where data plays an important role in decision-making. Students can tailor their experience toward the industries and types of analytical work that interest them most.